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Free During Beta. Usage-Based Pricing Coming.

You pay your model providers directly. Squad is free.

Beta

Free

Everything you need to get started. Free while in beta.

  • Full multi-agent coordination
  • Bring your own model subscriptions
  • 500+ tool integrations
  • Work receipts & agent traces
  • Community support
Request Early Access

Starter

Coming Soon

For growing squads scaling their agent workflows.

  • Everything in Beta
  • Priority support
  • Advanced analytics
  • Squad management
Join Waitlist

Squad

Coming Soon

For organizations running agents at scale.

  • Everything in Starter
  • SSO & SAML
  • Custom integrations
  • Dedicated support
  • SLA guarantees
Contact Us

Bring Your Own Subscription

Squad works with your existing model subscriptions. You pay Claude, Copilot, or Codex directly. Squad coordinates. No double billing. No markup.

Pricing Questions Teams Ask First

Do we pay Squad and model providers separately?

Yes. During beta, Squad is free. You continue paying your existing model vendors directly. This keeps billing simple while your team adopts coordinated multi-agent workflows.

When does usage-based pricing begin?

Usage-based pricing will launch after beta. Early beta teams get advance notice, migration guidance, and clear usage visibility so finance and engineering can plan together.

How should we choose between Starter and Squad later?

Starter is for teams scaling repeatable workflows. Squad is for organizations that need enterprise controls like SSO, deeper integrations, and stronger support commitments. If you are uncertain, start with beta and map requirements with us.

How Teams Evaluate Beta Value

Most teams start with one high-friction workflow and measure three outcomes: reduction in coordination overhead, increase in reviewed output per week, and confidence in what changed before deployment. If those metrics move in the right direction, expansion is usually straightforward.

During beta, the goal is not maximum usage. The goal is proving that your team can manage AI agents as a repeatable operating model with quality controls that hold up under delivery pressure and changing release priorities.